Alexander Smorkalov
db3e5620cd
Merge branch 4.x
2024-04-16 17:28:18 +03:00
Kumataro
d22d0bd49c
core: persistence: use hfloat instead of float16_t
2024-04-11 05:18:25 +09:00
Kumataro
b14ea19466
Merge pull request #25351 from Kumataro:fix25073_format_g
...
core: persistence: output reals as human-friendly expression. #25351
Close #25073
Related https://github.com/opencv/opencv/pull/25087
This patch is need to merge same time with https://github.com/opencv/opencv_contrib/pull/3714
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-04-10 15:17:15 +03:00
Dmitry Kurtaev
bfd1504de3
Resolve valgrind warnings
2024-04-08 09:35:21 +03:00
Alexander Smorkalov
cb6d295f15
Merge branch 4.x
2024-04-02 16:39:54 +03:00
Pierre Chatelier
1a537ab98f
Merge pull request #24893 from chacha21:cart_polar_inplace
...
Added in-place support for cartToPolar and polarToCart #24893
- a fused hal::cartToPolar[32|64]f() is used instead of sequential hal::magnitude[32|64]f/hal::fastAtan[32|64]f
- ipp_polarToCart is skipped for in-place processing (it seems not to support it correctly)
relates to #24891
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-03-26 15:38:17 +03:00
Yuantao Feng
8e342f8857
5.x core: rename cv::bfloat16_t to cv::bfloat ( #25232 )
...
* rename cv::bfloat16_t to cv::bfloat
* clean class bfloat
2024-03-22 03:45:59 +03:00
Yuantao Feng
3afe8ddaf8
core: Rename cv::float16_t to cv::hfloat ( #25217 )
...
* rename cv::float16_t to cv::fp16_t
* add typedef fp16_t float16_t
* remove zero(), bits() from fp16_t class
* fp16_t -> hfloat
* remove cv::float16_t::fromBits; add hfloatFromBits
* undo changes in conv_winograd_f63.simd.hpp and conv_block.simd.hpp
* undo some changes in dnn
2024-03-21 23:44:19 +03:00
Maksim Shabunin
6fc926ea4d
Updated RVV intrinsics and test to remove initializer_list
2024-03-13 21:16:58 +03:00
Maksim Shabunin
8cbdd0c833
Merge pull request #25075 from mshabunin:cleanup-imgproc-1
...
C-API cleanup: apps, imgproc_c and some constants #25075
Merge with https://github.com/opencv/opencv_contrib/pull/3642
* Removed obsolete apps - traincascade and createsamples (please use older OpenCV versions if you need them). These apps relied heavily on C-API
* removed all mentions of imgproc C-API headers (imgproc_c.h, types_c.h) - they were empty, included core C-API headers
* replaced usage of several C constants with C++ ones (error codes, norm modes, RNG modes, PCA modes, ...) - most part of this PR (split into two parts - all modules and calib+3d - for easier backporting)
* removed imgproc C-API headers (as separate commit, so that other changes could be backported to 4.x)
Most of these changes can be backported to 4.x.
2024-03-05 12:18:31 +03:00
Alexander Smorkalov
daa8f7dfc6
Partially back-port #25075 to 4.x
2024-03-05 12:15:39 +03:00
Vadim Pisarevsky
1d18aba587
Extended several core functions to support new types ( #24962 )
...
* started adding support for new types (16f, 16bf, 32u, 64u, 64s) to arithmetic functions
* fixed several tests; refactored and extended sum(), extended inRange().
* extended countNonZero(), mean(), meanStdDev(), minMaxIdx(), norm() and sum() to support new types (F16, BF16, U32, U64, S64)
* put missing CV_DEPTH_MAX to some function dispatcher tables
* extended findnonzero, hasnonzero with the new types support
* extended mixChannels() to support new types
* minor fix
* fixed a few compile errors on Linux and a few failures in core tests
* fixed a few more warnings and test failures
* trying to fix the remaining warnings and test failures. The test `MulTestGPU.MathOpTest` was disabled - not clear whether to set tolerance - it's not bit-exact operation, as possibly assumed by the test, due to the use of scale and possibly limited accuracy of the intermediate floating-point calculations.
* found that in the current snapshot G-API produces incorrect results in Mul, Div and AddWeighted (at least when using OpenCL on Windows x64 or MacOS x64). Disabled the respective tests.
2024-02-11 10:42:41 +03:00
Alexander Smorkalov
decf6538a2
Merge branch 4.x
2024-01-23 17:06:52 +03:00
Alexander Smorkalov
c739117a7c
Merge branch 4.x
2024-01-19 17:32:22 +03:00
Sean McBride
e64857c561
Merge pull request #23736 from seanm:c++11-simplifications
...
Removed all pre-C++11 code, workarounds, and branches #23736
This removes a bunch of pre-C++11 workrarounds that are no longer necessary as C++11 is now required.
It is a nice clean up and simplification.
* No longer unconditionally #include <array> in cvdef.h, include explicitly where needed
* Removed deprecated CV_NODISCARD, already unused in the codebase
* Removed some pre-C++11 workarounds, and simplified some backwards compat defines
* Removed CV_CXX_STD_ARRAY
* Removed CV_CXX_MOVE_SEMANTICS and CV_CXX_MOVE
* Removed all tests of CV_CXX11, now assume it's always true. This allowed removing a lot of dead code.
* Updated some documentation consequently.
* Removed all tests of CV_CXX11, now assume it's always true
* Fixed links.
---------
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-01-19 16:53:08 +03:00
Kumataro
dba7186378
Merge pull request #24271 from Kumataro:fix24163
...
Fix to convert float32 to int32/uint32 with rounding to nearest (ties to even). #24271
Fix https://github.com/opencv/opencv/issues/24163
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
(carotene is BSD)
2023-12-25 12:17:17 +03:00
Kumataro
bae435a5a7
Merge pull request #24578 from Kumataro:fix_verify_unsupported_new_mat_depth
...
Fix verify unsupported new mat depth for nonzero/minmax/lut #24578
`cv::LUI()`, `cv::minMaxLoc()`, `cv::minMaxIdx()`, `cv::countNonZero()`, `cv::findNonZero()` and `cv::hasNonZero()` uses depth-based function table. However, it is too short for `CV_16BF`, `CV_Bool`, `CV_64U`, `CV_64S` and `CV_32U` and it may occur out-boundary-access. This patch fix it. And If necessary, when someone extends these functions to support, please relax this test.
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-23 12:15:58 +03:00
zihaomu
b913e73d04
DNN: add the Winograd fp16 support ( #23654 )
...
* add Winograd FP16 implementation
* fixed dispatching of FP16 code paths in dnn; use dynamic dispatcher only when NEON_FP16 is enabled in the build and the feature is present in the host CPU at runtime
* fixed some warnings
* hopefully fixed winograd on x64 (and maybe other platforms)
---------
Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
2023-11-20 13:45:37 +03:00
Rostislav Vasilikhin
53aad98a1a
Merge pull request #23098 from savuor:nanMask
...
finiteMask() and doubles for patchNaNs() #23098
Related to #22826
Connected PR in extra: [#1037@extra](https://github.com/opencv/opencv_extra/pull/1037 )
### TODOs:
- [ ] Vectorize `finiteMask()` for 64FC3 and 64FC4
### Changes
This PR:
* adds a new function `finiteMask()`
* extends `patchNaNs()` by CV_64F support
* moves `patchNaNs()` and `finiteMask()` to a separate file
**NOTE:** now the function is called `finiteMask()` as discussed with the OpenCV core team
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-09 10:32:47 +03:00
Alexander Smorkalov
34f34f6227
Merge branch 4.x
2023-11-08 14:39:48 +03:00
Kumataro
1911c63826
fix: supress GCC13 warnings ( #24434 )
...
* fix: supress GCC13 warnings
* fix for review and compile-warning on MacOS
2023-10-26 09:00:58 +03:00
Alexander Smorkalov
97620c053f
Merge branch 4.x
2023-10-23 11:53:04 +03:00
Liutong HAN
a287605c3e
Clean up the Universal Intrinsic API.
2023-10-13 19:23:30 +08:00
Sean McBride
5fb3869775
Merge pull request #23109 from seanm:misc-warnings
...
* Fixed clang -Wnewline-eof warnings
* Fixed all trivial clang -Wextra-semi and -Wc++98-compat-extra-semi warnings
* Removed trailing semi from various macros
* Fixed various -Wunused-macros warnings
* Fixed some trivial -Wdocumentation warnings
* Fixed some -Wdocumentation-deprecated-sync warnings
* Fixed incorrect indentation
* Suppressed some clang warnings in 3rd party code
* Fixed QRCodeEncoder::Params documentation.
---------
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2023-10-06 13:33:21 +03:00
Maksim Shabunin
1bccc14e05
Merge pull request #24343 from mshabunin:fix-test-writes
...
Fix tests writing to current work dir #24343
Several tests were writing files in the current work directory and did not clean up after test. Moved all temporary files to the `/tmp` dir and added a cleanup code.
2023-10-03 16:34:25 +03:00
Alexander Smorkalov
163d544ecf
Merge branch 4.x
2023-10-02 10:17:23 +03:00
Vadim Pisarevsky
416bf3253d
attempt to add 0d/1d mat support to OpenCV ( #23473 )
...
* attempt to add 0d/1d mat support to OpenCV
* revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1.
* a step towards 'green' tests
* another little step towards 'green' tests
* calib test failures seem to be fixed now
* more fixes _core & _dnn
* another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported!
* * fixed strange bug in aruco/charuco detector, not sure why it did not work
* also fixed a few remaining failures (hopefully) in dnn & core
* disabled failing GAPI tests - too complex to dig into this compiler pipeline
* hopefully fixed java tests
* trying to fix some more tests
* quick followup fix
* continue to fix test failures and warnings
* quick followup fix
* trying to fix some more tests
* partly fixed support for 0D/scalar UMat's
* use updated parseReduce() from upstream
* trying to fix the remaining test failures
* fixed [ch]aruco tests in Python
* still trying to fix tests
* revert "fix" in dnn's CUDA tensor
* trying to fix dnn+CUDA test failures
* fixed 1D umat creation
* hopefully fixed remaining cuda test failures
* removed training whitespaces
2023-09-21 18:24:38 +03:00
Dmitry Kurtaev
d78637102c
Skip test cases in case of SkipTestException in SetUp
2023-09-20 13:27:06 +03:00
Dmitry Kurtaev
6bc369fc56
Merge pull request #24250 from dkurt:ts_fixture_constructor_skip_2
...
Skip test on SkipTestException at fixture's constructor (version 2) #24250
### Pull Request Readiness Checklist
Another version of https://github.com/opencv/opencv/pull/24186 (reverted by https://github.com/opencv/opencv/pull/24223 ). Current implementation cannot handle skip exception at `static void SetUpTestCase` but works on `virtual void SetUp`.
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-18 10:23:24 +03:00
Vincent Rabaud
3880d059b3
Merge pull request #24260 from vrabaud:ubsan
...
Fix undefined behavior arithmetic in copyMakeBorder and adjustROI. #24260
This is due to the undefined: negative int multiplied by size_t pointer increment.
To test, compile with:
```
mkdir build
cd build
cmake ../ -DCMAKE_C_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_CXX_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_C_COMPILER="/usr/bin/clang" -DCMAKE_CXX_COMPILER="/usr/bin/clang++" -DCMAKE_SHARED_LINKER_FLAGS="-fsanitize=undefined -lubsan"
```
And run:
```
make -j opencv_test_core && ./bin/opencv_test_core --gtest_filter=*UndefinedBehavior*
```
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-14 15:16:28 +03:00
Alexander Smorkalov
fdab565711
Merge branch 4.x
2023-09-13 14:49:25 +03:00
Yuriy Chernyshov
8a415c881a
Add missing std namespace qualifiers
2023-09-06 13:46:39 +03:00
Alexander Smorkalov
cca4ee2e46
Revert PR 24186 as it force skip tests.
2023-09-05 14:35:37 +03:00
Kumataro
72bb8bb73c
core: arm64: v_round() works with round to nearest, ties to even.
2023-09-04 10:27:55 +03:00
Yuantao Feng
a308dfca98
core: add broadcast ( #23965 )
...
* add broadcast_to with tests
* change name
* fix test
* fix implicit type conversion
* replace type of shape with InputArray
* add perf test
* add perf tests which takes care of axis
* v2 from ficus expand
* rename to broadcast
* use randu in place of declare
* doc improvement; smaller scale in perf
* capture get_index by reference
2023-08-30 09:53:59 +03:00
Dmitry Kurtaev
588ddf1b18
Merge pull request #24186 from dkurt:ts_fixture_constructor_skip
...
Skip test on SkipTestException at fixture's constructor
* Skip test on SkipTestException at fixture's constructor
* Add warning supression
* Skip Python tests if no test file found
* Skip instances of test fixture with exception at SetUpTestCase
* Skip test with exception at SetUp method
* Try remove warning disable
* Add CV_NORETURN
* Remove FAIL assertion
* Use findDataFile to throw Skip exception
* Throw exception conditionally
2023-08-25 14:53:34 +03:00
Vadim Pisarevsky
518486ed3d
Added new data types to cv::Mat & UMat ( #23865 )
...
* started working on adding 32u, 64u, 64s, bool and 16bf types to OpenCV
* core & imgproc tests seem to pass
* fixed a few compile errors and test failures on macOS x86
* hopefully fixed some compile problems and test failures
* fixed some more warnings and test failures
* trying to fix small deviations in perf_core & perf_imgproc by revering randf_64f to exact version used before
* trying to fix behavior of the new OpenCV with old plugins; there is (quite strong) assumption that video capture would give us frames with depth == CV_8U (0) or CV_16U (2). If depth is > 7 then it means that the plugin is built with the old OpenCV. It needs to be recompiled, of course and then this hack can be removed.
* try to repair the case when target arch does not have FP64 SIMD
* 1. fixed bug in itoa() found by alalek
2. restored ==, !=, > and < univ. intrinsics on ARM32/ARM64.
2023-08-04 10:50:03 +03:00
Alexander Smorkalov
47188b7c7e
Merge branch 4.x
2023-07-28 13:05:36 +03:00
Alexander Smorkalov
bd2695f01b
Merge pull request #23966 from hanliutong:popcount
...
Add missing ”v_popcount“ for RVV and enable tests.
2023-07-13 12:22:46 +03:00
Alexander Smorkalov
cea26341a5
Merge branch 4.x
2023-07-13 09:28:36 +03:00
Liutong HAN
a00818047f
Add missing ”v_popcount“ for RVV and enable tests.
2023-07-11 16:10:27 +08:00
Maksim Shabunin
09944a83d9
build: w/a compiler warnings for GCC 11-12 and Clang 13, reduce build output
2023-07-10 11:27:59 +03:00
Alexander Smorkalov
5af40a0269
Merge branch 4.x
2023-07-05 15:51:10 +03:00
Alexander Smorkalov
004801f1c5
Merge remote-tracking branch 'origin/3.4' into merge-3.4
2023-06-20 09:56:57 +03:00
Pierre Chatelier
60b806f9b8
Merge pull request #22947 from chacha21:hasNonZero
...
Added cv::hasNonZero() #22947
`cv::hasNonZero()` is semantically equivalent to (`cv::countNonZero()>0`) but stops parsing the image when a non-zero value is found, for a performance gain
- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
This pull request might be refused, but I submit it to know if further work is needed or if I just stop working on it.
The idea is only a performance gain vs `countNonZero()>0` at the cost of more code.
Reasons why it might be refused :
- this is just more code
- the execution time is "unfair"/"unpredictable" since it depends on the position of the first non-zero value
- the user must be aware that default search is from first row/col to last row/col and has no way to customize that, even if his use case lets him know where a non zero could be found
- the PR in its current state is using, for the ocl implementation, a mere `countNonZero()>0` ; there is not much sense in trying to break early the ocl kernel call when non-zero is encountered. So the ocl implementation does not bring any improvement.
- there is no IPP function that can help (`countNonZero()` is based in `ippCountInRange`)
- the PR in its current state might be slower than a call to `countNonZero()>0` in some cases (see "challenges" below)
Reasons why it might be accepted :
- the performance gain is huge on average, if we consider that "on average" means "non zero in the middle of the image"
- the "missing" IPP implementation is replaced by an "Open-CV universal intrinsics" implementation
- the PR in its current state is almost always faster than a call to `countNonZero()>0`, is only slightly slower in the worst cases, and not even for all matrices
**Challenges**
The worst case is either an all-zero matrix, or a non-zero at the very last position. In such a case, the `hasNonZero()` implementation will parse the whole matrix like `countNonZero()` would do. But we expect the performance to be the same in this case. And `ippCountInRange` is hard to beat !
There is also the case of very small matrices (<=32x32...) in 8b, where the SIMD can be hard to feed.
For all cases but the worse, my custom `hasNonZero()` performs better than `ippCountInRange()`
For the worst case, my custom `hasNonZero()` performs better than `ippCountInRange()` *except for large matrices of type CV_32S or CV_64F* (but surprisingly, not CV_32F).
The difference is small, but it exists (and I don't understand why).
For very small CV_8U matrices `ippCountInRange()` seems unbeatable.
Here is the code that I use to check timings
```
//test cv::hasNonZero() vs (cv::countNonZero()>0) for different matrices sizes, types, strides...
{
cv::setRNGSeed(1234);
const std::vector<cv::Size> sizes = {{32, 32}, {64, 64}, {128, 128}, {320, 240}, {512, 512}, {640, 480}, {1024, 768}, {2048, 2048}, {1031, 1000}};
const std::vector<int> types = {CV_8U, CV_16U, CV_32S, CV_32F, CV_64F};
const size_t iterations = 1000;
for(const cv::Size& size : sizes)
{
for(const int type : types)
{
for(int c = 0 ; c<2 ; ++c)
{
const bool continuous = !c;
for(int i = 0 ; i<4 ; ++i)
{
cv::Mat m = continuous ? cv::Mat::zeros(size, type) : cv::Mat(cv::Mat::zeros(cv::Size(2*size.width, size.height), type), cv::Rect(cv::Point(0, 0), size));
const bool nz = (i <= 2);
const unsigned int nzOffsetRange = 10;
const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange;
const cv::Point pos =
(i == 0) ? cv::Point(nzOffset, 0) :
(i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) :
(i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) :
cv::Point(0, 0);
std::cout << "============================================================" << std::endl;
std::cout << "size:" << size << " type:" << type << " continuous = " << (continuous ? "true" : "false") << " iterations:" << iterations << " nz=" << (nz ? "true" : "false");
std::cout << " pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none");
std::cout << std::endl;
cv::Mat mask = cv::Mat::zeros(size, CV_8UC1);
mask.at<unsigned char>(pos) = 0xFF;
m.setTo(cv::Scalar::all(0));
m.setTo(cv::Scalar::all(nz ? 1 : 0), mask);
std::vector<bool> results;
std::vector<double> timings;
{
bool res = false;
auto ref = cv::getTickCount();
for(size_t k = 0 ; k<iterations ; ++k)
res = cv::hasNonZero(m);
auto now = cv::getTickCount();
const bool error = (res != nz);
if (error)
printf("!!ERROR!!\r\n");
results.push_back(res);
timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
}
{
bool res = false;
auto ref = cv::getTickCount();
for(size_t k = 0 ; k<iterations ; ++k)
res = (cv::countNonZero(m)>0);
auto now = cv::getTickCount();
const bool error = (res != nz);
if (error)
printf("!!ERROR!!\r\n");
results.push_back(res);
timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
}
const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin());
if ((bestTimingIndex != 0) || (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end()))
{
std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? " ERROR" : "") << " perf:" << timings[0] << "ms => " << (iterations/timings[0]*1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl;
std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? " ERROR" : "") << " perf:" << timings[1] << "ms => " << (iterations/timings[1]*1000) << " im/s" << ((bestTimingIndex == 1) ? " * " : "") << std::endl;
}
}
}
}
}
}
```
Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster)
My CPU is an Intel Core I7 4790 @ 3.60Ghz
```
============================================================
size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=middle
cv::hasNonZero =>1 perf:0.353764ms => 2.82674e+06 im/s
cv::countNonZero =>1 perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32] type:0 continuous = false iterations:1000 nz=true pos=end
cv::hasNonZero =>1 perf:0.610478ms => 1.63806e+06 im/s
cv::countNonZero =>1 perf:0.283182ms => 3.5313e+06 im/s *
============================================================
size:[32 x 32] type:0 continuous = false iterations:1000 nz=false pos=none
cv::hasNonZero =>0 perf:0.630115ms => 1.58701e+06 im/s
cv::countNonZero =>0 perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:5 continuous = false iterations:1000 nz=true pos=end
cv::hasNonZero =>1 perf:0.607347ms => 1.64651e+06 im/s
cv::countNonZero =>1 perf:0.467037ms => 2.14116e+06 im/s *
============================================================
size:[32 x 32] type:5 continuous = false iterations:1000 nz=false pos=none
cv::hasNonZero =>0 perf:0.618162ms => 1.6177e+06 im/s
cv::countNonZero =>0 perf:0.468175ms => 2.13595e+06 im/s *
============================================================
size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[32 x 32] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[64 x 64] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[128 x 128] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[320 x 240] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[512 x 512] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[512 x 512] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[640 x 480] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1024 x 768] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=true pos=end
cv::hasNonZero =>1 perf:895.381ms => 1116.84 im/s
cv::countNonZero =>1 perf:882.569ms => 1133.06 im/s *
============================================================
size:[2048 x 2048] type:4 continuous = true iterations:1000 nz=false pos=none
cv::hasNonZero =>0 perf:899.53ms => 1111.69 im/s
cv::countNonZero =>0 perf:870.894ms => 1148.24 im/s *
============================================================
size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=true pos=end
cv::hasNonZero =>1 perf:2018.92ms => 495.313 im/s
cv::countNonZero =>1 perf:1966.37ms => 508.552 im/s *
============================================================
size:[2048 x 2048] type:6 continuous = true iterations:1000 nz=false pos=none
cv::hasNonZero =>0 perf:2005.87ms => 498.537 im/s
cv::countNonZero =>0 perf:1992.78ms => 501.812 im/s *
============================================================
size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[2048 x 2048] type:6 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:0 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:0 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:2 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:2 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:4 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:4 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:5 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:5 continuous = false iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:6 continuous = true iterations:1000 nz=false pos=none
============================================================
size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=begin
============================================================
size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=middle
============================================================
size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=true pos=end
============================================================
size:[1031 x 1000] type:6 continuous = false iterations:1000 nz=false pos=none
done
```
2023-06-09 13:37:20 +03:00
Alexander Smorkalov
65487946cc
Added final constrants check to solveLP to filter out flating-point numeric issues.
2023-05-25 17:29:01 +03:00
Pierre Chatelier
6dd8a9b6ad
Merge pull request #13879 from chacha21:REDUCE_SUM2
...
add REDUCE_SUM2 #13879
proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements
2023-04-28 20:42:52 +03:00
Alexander Smorkalov
e4a29d93fe
Merge remote-tracking branch 'origin/3.4' into merge-3.4
2023-04-21 10:55:04 +03:00
Sean McBride
47bea69322
Merge pull request #23055 from seanm:sprintf2
...
* Replaced most remaining sprintf with snprintf
* Deprecated encodeFormat and introduced new method that takes the buffer length
* Also increased buffer size at call sites to be a little bigger, in case int is 64 bit
2023-04-18 09:22:59 +03:00
Alexander Alekhin
fe59a5695f
core(simd): 64-bit integer EQ/NE without misused 64F guard
2023-02-27 19:51:55 +00:00
Alexander Alekhin
1d530eb2e2
core(test_math): replace the_rng() => cv::theRNG()
2023-01-29 19:51:18 +00:00
Alexander Alekhin
f33598f55e
Merge branch 4.x
2023-01-28 17:31:32 +00:00
Alexander Alekhin
18cbfa4a4f
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2023-01-23 00:11:12 +00:00
Rostislav Vasilikhin
f3a03aefad
cvIsInf(double) fix + regression test
2023-01-17 23:06:39 +01:00
Alexander Alekhin
593a376566
Merge branch 4.x
2023-01-09 11:08:02 +00:00
fengyuentau
34a0897f90
add cv::flipND; support onnx slice with negative steps via cv::flipND
2022-12-23 16:39:53 +08:00
Alexander Alekhin
be326ff752
build: fix/eliminate MSVC warnings
2022-12-10 12:19:31 +00:00
HAN Liutong
df24bd295d
Fix v_signmask for RISC-V Vector.
2022-09-23 11:28:50 +00:00
wxsheng
4154bd0667
Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
...
* Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
* Add resize.lasx.cpp for Loongson SIMD acceleration
* Add imgwarp.lasx.cpp for Loongson SIMD acceleration
* Add LASX acceleration support for dnn/conv
* Add CV_PAUSE(v) for Loongarch
* Set LASX by default on Loongarch64
* LoongArch: tune test threshold for Core/HAL.mat_decomp/15
Co-authored-by: shengwenxue <shengwenxue@loongson.cn>
2022-09-10 09:39:43 +03:00
Yuantao Feng
9dc844a6e1
Merge pull request #22346 from fengyuentau:mat1d_part1
...
Changes separated from Mat 1D support in core #18594 (#22346 )
2022-09-09 12:56:30 +03:00
HAN Liutong
7e2c8cc9f4
Add remaining intrinsics.
2022-08-26 07:06:51 +00:00
Alexander Smorkalov
d10832074e
Merge pull request #22353 from hanliutong:more-rvv-intrin
...
[GSoC] Add more universal intrinsic implementations for RVV.
2022-08-23 12:50:01 +03:00
Alexander Alekhin
c25f776151
Merge branch 4.x
2022-08-21 15:27:31 +00:00
HAN Liutong
b9a1039566
Remove the test log in test_interleave_pq.
2022-08-18 08:01:09 +00:00
HAN Liutong
8dc332721f
Add testcases for interleave_p&q and enable others testcases.
2022-08-17 14:39:23 +00:00
Alexander Alekhin
2ebdc04787
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-08-14 15:50:42 +00:00
HAN Liutong
f572ae3474
add missing test cases(v_abs)
2022-08-12 14:13:26 +00:00
HAN Liutong
2fb652ce09
Add testcase for continuous mul and add.
2022-08-12 01:44:30 +00:00
HAN Liutong
f0d29cd33c
Add more universal intrinsic implementations for RVV.
2022-08-08 02:09:54 +00:00
HAN Liutong
2bd72af2ef
Merge pull request #22292 from hanliutong:fix
...
[GSoC] Fix compilation errors and warnings when using MSVC on Windows.
* Pass reference of the argument.
* Add some cast to suppress warnings.
2022-07-24 12:15:13 +03:00
Maksim Shabunin
f729202272
core: remove unnecessary pointer cleanup in BufferArea
2022-07-24 11:58:17 +03:00
HAN Liutong
3e3b53f815
Fix compile errors when all SIMD is disabled.
2022-07-21 08:14:32 +00:00
HAN Liutong
0ef803950b
Merge pull request #22179 from hanliutong:new-rvv
...
[GSoC] New universal intrinsic backend for RVV
* Add new rvv backend (partially implemented).
* Modify the framework of Universal Intrinsic.
* Add CV_SIMD macro guards to current UI code.
* Use vlanes() instead of nlanes.
* Modify the UI test.
* Enable the new RVV (scalable) backend.
* Remove whitespace.
* Rename and some others modify.
* Update intrin.hpp but still not work on AVX/SSE
* Update conditional compilation macros.
* Use static variable for vlanes.
* Use max_nlanes for array defining.
2022-07-19 20:02:00 +03:00
Sean McBride
35f1a90df7
Merge pull request #22149 from seanm:sprintf
...
Replaced sprintf with safer snprintf
* Straightforward replacement of sprintf with safer snprintf
* Trickier replacement of sprintf with safer snprintf
Some functions were changed to take another parameter: the size of the buffer, so that they can pass that size on to snprintf.
2022-06-25 06:48:22 +03:00
OpenCV Developers
0fbd58bef9
Merge branch 4.x
2022-04-23 22:07:14 +00:00
rogday
7daf84fb44
address security concerns in persistence
2022-04-14 22:18:00 +03:00
Anatoliy Talamanov
9390c56831
Merge pull request #21782 from TolyaTalamanov:at/fix-1d-mat-problems
...
[G-API] Fix problems with 1D cv::Mat as graph output
* Fix issues with 1D cv::Mat
* Fix cv::Mat::create
* Fix standalone build
* Add test on 1d mat
* Fix warning
* Add additional condition
* Add more tests
2022-03-31 21:00:45 +00:00
Alexander Alekhin
1339ebaa84
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-03-26 16:00:28 +00:00
Maksim Shabunin
593996216f
cartToPolar/polarToCart: disable inplace mode
2022-03-21 16:06:12 +03:00
rogday
e16cb8b4a2
Merge pull request #21703 from rogday:transpose
...
Add n-dimensional transpose to core
* add n-dimensional transpose to core
* add performance test, write sequentially and address review comments
2022-03-14 13:10:04 +00:00
Vincent Rabaud
057c3da82a
Allow Matx static function to work with Vec.
2022-03-04 14:06:20 +01:00
Alexander Alekhin
899b4d1452
Merge branch 4.x
2022-02-22 19:55:26 +00:00
Alexander Alekhin
d573472a86
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-01-31 12:53:45 +00:00
Alexander Alekhin
123519165d
core: FP denormals hints support
2022-01-26 05:19:02 +00:00
Alexander Alekhin
5ba9a089e1
core(persistence): avoid NULL pointer dereference
2022-01-18 04:56:43 +00:00
Suleyman TURKMEN
0e6a2c0491
fix legacy constants
2022-01-03 15:08:10 +03:00
Alexander Alekhin
a0d5277e0d
Merge branch 4.x
2021-12-30 21:43:45 +00:00
rogday
692059e899
initialize members
2021-12-13 18:41:23 +03:00
Alexander Alekhin
d24befa0bc
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-12-11 15:18:57 +00:00
Vincent Rabaud
6b4ea68bc7
Solve Rect overflow issues.
...
Fow now, it is possible to define valid rectangle for which some
functions overflow (e.g. br(), ares() ...).
This patch fixes the intersection operator so that it works with
any rectangle.
2021-12-09 12:04:26 +01:00
Alexander Alekhin
8b4fa2605e
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-12-03 12:32:49 +00:00
rogday
f044037ec5
Merge pull request #20733 from rogday:argmaxnd
...
Implement ArgMax and ArgMin
* add reduceArgMax and reduceArgMin
* fix review comments
* address review concerns
2021-11-28 16:17:46 +00:00
yuki takehara
a6277370ca
Merge pull request #21107 from take1014:remove_assert_21038
...
resolves #21038
* remove C assert
* revert C header
* fix several points in review
* fix test_ds.cpp
2021-11-27 18:34:52 +00:00
Alexander Alekhin
6a2077cbd8
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-23 15:33:31 +00:00
Alexander Alekhin
b5fcb06a76
core(SIMD): update int64 SSE constructor
2021-10-18 18:59:40 +00:00
Alexander Alekhin
7ba26ada12
Merge branch 4.x
2021-10-15 21:53:39 +00:00
Alexander Alekhin
8c7dc1f6b7
core: OPENCV_ABI_COMPATIBILITY=500
2021-10-12 12:07:12 +03:00
Alexander Alekhin
eab2b9dc09
core: ensure is_trivially_copyable for simple types
2021-10-06 21:39:53 +00:00
Alexander Alekhin
c3ac834526
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-09-11 21:27:26 +00:00
Alexander Alekhin
e3f4f874c5
Merge pull request #20670 from alalek:core_ocl_fix_intel_gpu_gemm_requirements
...
core(OpenCL): fix intel_gpu_gemm kernel requirements
* core(ocl): fix intel_gpu_gemm integration
- allow bailout to generic OpenCL kernel
* core(ocl): avoid failures of generic OpenCL gemm kernel
* core(ocl): define alignment requirements of intel_gpu_gemm kernels
2021-09-10 12:00:11 +00:00
